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Podcasty
Paul Huijbregts, Joe Anich, Justen Graves
With all organizational data and trade secrets being digitized, the threat of data compromise, unauthorized access, and cyberattacks has increased exponentially. Microsoft Defender for Endpoint (MDE) is a market-leading cross-platform endpoint security solution that enables you to prevent, detect, investigate, and respond to threats. MDE helps strengthen the security posture of your organization.This book starts with a history of the product and a primer on its various features. From prevention to attack surface reduction, detection, and response, you’ll learn about the features, their applicability, common misconceptions, and caveats. After planning, preparation, deployment, and configuration toward successful implementation, you’ll be taken through a day in the life of a security analyst working with the product. You’ll uncover common issues, techniques, and tools used for troubleshooting along with answers to some of the most common challenges cybersecurity professionals face. Finally, the book will wrap up with a reference guide with tips and tricks to maintain a strong cybersecurity posture.By the end of the book, you’ll have a deep understanding of Microsoft Defender for Endpoint and be well equipped to keep your organization safe from different forms of cyber threats.
Every machine learning engineer deals with systems that have hyperparameters, and the most basic task in automated machine learning (AutoML) is to automatically set these hyperparameters to optimize performance. The latest deep neural networks have a wide range of hyperparameters for their architecture, regularization, and optimization, which can be customized effectively to save time and effort.This book reviews the underlying techniques of automated feature engineering, model and hyperparameter tuning, gradient-based approaches, and much more. You'll discover different ways of implementing these techniques in open source tools and then learn to use enterprise tools for implementing AutoML in three major cloud service providers: Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform. As you progress, you’ll explore the features of cloud AutoML platforms by building machine learning models using AutoML. The book will also show you how to develop accurate models by automating time-consuming and repetitive tasks in the machine learning development lifecycle.By the end of this machine learning book, you’ll be able to build and deploy AutoML models that are not only accurate, but also increase productivity, allow interoperability, and minimize feature engineering tasks.
Anil Mahtani, Aaron Martinez, Enrique Fernandez Perdomo, Luis Sánchez, ...
This learning path is designed to help youprogram and build your robots using opensource ROS libraries and tools. We startwith the installation and basic concepts,then continue with the more complexmodules available in ROS, such assensor and actuator integration (drivers),navigation and mapping (so you cancreate an autonomous mobile robot),manipulation, computer vision, perceptionin 3D with PCL, and more.We then discuss advanced concepts inrobotics and how to program using ROS.You'll get a deep overview of the ROSframework, which will give you a clearidea of how ROS really works. During thecourse of the book, you will learn howto build models of complex robots, andsimulate and interface the robot using theROS MoveIt motion planning library andROS navigation stacks.We'll go through great projects such asbuilding a self-driving car, an autonomousmobile robot, and image recognitionusing deep learning and ROS. You canfind beginner, intermediate, and expertROS robotics applications inside! It includes content from the following Packt products:? Effective Robotics Programming with ROS - Third Edition? Mastering ROS for Robotics Programming? ROS Robotics Projects
Swift is one of the most popular and powerful programming languages for building iOS and Mac OS applications, and continues to evolve with new features and capabilities. Swift is considered a replacement to Objective-C and has performance advantages over Objective-C and Python. Swift adopts safe programming patterns and adds modern features to make programming easier, more flexible, and more fun.Develop Swift and discover best practices that allow you to build solid applications and optimize their performance.First, a few of performance characteristics of Swift will be explained. You will implement new tools available in Swift, including Playgrounds and REPL. These will improve your code efficiency, enable you to analyse Swift code, and enhance performance. Next, the importance of building solid applications using multithreading concurrency and multi-core device architecture is covered, before moving on to best practices and techniques that you should utilize when building high performance applications, such as concurrency and lazy-loading. Finally, you will explore the underlying structure of Swift further, and learn how to disassemble and compile Swift code.
Discover why the MATLAB programming environment is highly favored by researchers and math experts for machine learning with this guide which is designed to enhance your proficiency in both machine learning and deep learning using MATLAB, paving the way for advanced applications.By navigating the versatile machine learning tools in the MATLAB environment, you’ll learn how to seamlessly interact with the workspace. You’ll then move on to data cleansing, data mining, and analyzing various types of data in machine learning, and visualize data values on a graph. As you progress, you’ll explore various classification and regression techniques, skillfully applying them with MATLAB functions.This book teaches you the essentials of neural networks, guiding you through data fitting, pattern recognition, and cluster analysis. You’ll also explore feature selection and extraction techniques for performance improvement through dimensionality reduction. Finally, you’ll leverage MATLAB tools for deep learning and managing convolutional neural networks.By the end of the book, you’ll be able to put it all together by applying major machine learning algorithms in real-world scenarios.
Although out-of-the-box solutions can help you to get a cluster up and running quickly, running a Kubernetes cluster that is optimized for production workloads is a challenge, especially for users with basic or intermediate knowledge. With detailed coverage of cloud industry standards and best practices for achieving scalability, availability, operational excellence, and cost optimization, this Kubernetes book is a blueprint for managing applications and services in production.You'll discover the most common way to deploy and operate Kubernetes clusters, which is to use a public cloud-managed service from AWS, Azure, or Google Cloud Platform (GCP). This book explores Amazon Elastic Kubernetes Service (Amazon EKS), the AWS-managed version of Kubernetes, for working through practical exercises. As you get to grips with implementation details specific to AWS and EKS, you'll understand the design concepts, implementation best practices, and configuration applicable to other cloud-managed services. Throughout the book, you’ll also discover standard and cloud-agnostic tools, such as Terraform and Ansible, for provisioning and configuring infrastructure.By the end of this book, you’ll be able to leverage Kubernetes to operate and manage your production environments confidently.
Modern Python Cookbook. The latest in modern Python recipes for the busy modern programmer
Python is the preferred choice of developers, engineers, data scientists, and hobbyists everywhere. It is a great scripting language that can power your applications and provide great speed, safety, and scalability. By exposing Python as a series of simple recipes, you can gain insight into specific language features in a particular context. Having a tangible context helps make the language or standard library feature easier to understand.This book comes with over 100 recipes on the latest version of Python. The recipes will benefit everyone ranging from beginner to an expert. The book is broken down into 13 chapters that build from simple language concepts to more complex applications of the language. The recipes will touch upon all the necessary Python concepts related to data structures, OOP, functional programming, as well as statistical programming. You will get acquainted with the nuances of Python syntax and how to effectively use the advantages that it offers. You will end the book equipped with the knowledge of testing, web services, and configuration and application integration tips and tricks. The recipes take a problem-solution approach to resolve issues commonly faced by Python programmers across the globe. You will be armed with the knowledge of creating applications with flexible logging, powerful configuration, and command-line options, automated unit tests, and good documentation.
Cedric Gemy, Christoph Schafer
Scribus is an Open Source program that brings award-winning and inexpensive professional page layout to desktop computers with a combination of press-ready output and new approaches to page layout. Creating professional-looking documents using Scribus is not a cakewalk, especially with so many features at your disposal, it’s hard to know where to get started! Scribus Beginners guide walks users step by step through common projects, such as creating a brochure,newsletter, business cards and so on. It also includes guidelines on starting a web newsletter and online PDF (Adobe Acrobat format) newsletter along with basic scripting to extend Scribus as per your requirements. This book begins with the simplest tasks and brings you progressively to adapt your workflow to the most efficient tools. It commences with the description of the graphic tool chain and an overall chapter on how to draw a simple and attractive business card. You'll then see how to manage the pages of your document and organized their structure thanks to guides. Then being invited to fill them with text, you'll be able to import, set text style as well as use replacement and hyphenation tool. Pictures or vector drawing will be added to the documents too. You'll be taught to choose the best format at the best time, modify or distort the shapes to get very custom documents. You will also learn how Scribus handles advanced color features such as transparencies, overprinting, spot colors precisely and be sure they are set well for a print result without bad surprise. At the end, you'll know to produce a perfect PDF file, be it for print jobs or web with effects, buttons and javascript interactivity, extend the document capacities as well as Scribus tools with simple programming especially with the python language.
Prateek Joshi, David Millán Escrivá, Vinícius G. Mendonça
Open CV is a cross-platform, free-for-use library that is primarily used for real-time Computer Vision and image processing. It is considered to be one of the best open source libraries that helps developers focus on constructing complete projects on image processing, motion detection, and image segmentation.Whether you are completely new to the concept of Computer Vision or have a basic understanding of it, this book will be your guide to understanding the basic OpenCV concepts and algorithms through amazing real-world examples and projects.Starting from the installation of OpenCV on your system and understanding the basics of image processing, we swiftly move on to creating optical flow video analysis or text recognition in complex scenes, and will take you through the commonly used Computer Vision techniques to build your own Open CV projects from scratch.By the end of this book, you will be familiar with the basics of Open CV such as matrix operations, filters, and histograms, as well as more advanced concepts such as segmentation, machine learning, complex video analysis, and text recognition.
Let’s be honest—security testing can get repetitive. If you’re ready to break out of the routine and embrace the art of penetration testing, this book will help you to distinguish yourself to your clients.This pen testing book is your guide to learning advanced techniques to attack Windows and Linux environments from the indispensable platform, Kali Linux. You'll work through core network hacking concepts and advanced exploitation techniques that leverage both technical and human factors to maximize success. You’ll also explore how to leverage public resources to learn more about your target, discover potential targets, analyze them, and gain a foothold using a variety of exploitation techniques while dodging defenses like antivirus and firewalls. The book focuses on leveraging target resources, such as PowerShell, to execute powerful and difficult-to-detect attacks. Along the way, you’ll enjoy reading about how these methods work so that you walk away with the necessary knowledge to explain your findings to clients from all backgrounds. Wrapping up with post-exploitation strategies, you’ll be able to go deeper and keep your access.By the end of this book, you'll be well-versed in identifying vulnerabilities within your clients’ environments and providing the necessary insight for proper remediation.
Bryan Kenneweg, Imran Kasam, Micah McMullen, Michael Guido
Low-code is a visual approach to application development. It enables developers of varying experience levels to create web and mobile apps using drag-and-drop components and model-driven logic through a graphic user interface. Mendix is among the fastest-growing platforms that enable low-code enthusiasts to put their software ideas into practice without having to write much code, and Building Low-Code Applications with Mendix will help you get up and running with the process using examples and practice projects.The book starts with an introduction to Mendix, along with the reasons for using this platform and its tools for creating your first app. As you progress, you’ll explore Mendix Studio Pro, the visual environment that will help you learn Mendix app creation. Once you have your working app ready, you’ll understand how to enhance it with custom business logic and rules. Next, you’ll find out how to defend your app against bad data, troubleshoot and debug it, and finally, connect it with real-world business platforms. You’ll build practical skills as the book is filled with examples, real-world scenarios, and explanations of the tools needed to help you build low-code apps successfully.By the end of this book, you’ll have understood the concept of low-code development, learned how to use Mendix effectively, and developed a working app.
As cloud computing continues to revolutionize IT, professionals face the challenge of keeping up with rapidly evolving technologies. This book provides a clear roadmap for mastering cloud concepts, developing hands-on expertise, and obtaining professional certifications, making it an essential resource for those looking to advance their careers in cloud computing.Starting with a focus on the Amazon cloud, you’ll be introduced to fundamental AWS cloud services, followed by advanced AWS cloud services in the domains of data, machine learning, and security. Next, you’ll build proficiency in Microsoft Azure cloud and Google Cloud Platform (GCP) by examining the common attributes of the three clouds, differentiating their unique features, along with leveraging real-life cloud project implementations on these cloud platforms. Through hands-on projects and real-world applications, you’ll gain the skills needed to work confidently across different cloud platforms. The book concludes with career development guidance, including certification paths and industry insights to help you succeed in the cloud computing landscape.Walking through this cloud computing book, you’ll systematically establish a robust footing in AWS, Azure, and GCP, and emerge as a cloud-savvy professional, equipped with cloud certificates to validate your skills.